Clarkston Fund Institutional Fund Market Value
| CILGX Fund | USD 14.75 0.07 0.48% |
| Symbol | Clarkston |
Clarkston Fund 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Clarkston Fund's mutual fund what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Clarkston Fund.
| 03/20/2024 |
| 04/19/2024 |
If you would invest 0.00 in Clarkston Fund on March 20, 2024 and sell it all today you would earn a total of 0.00 from holding Clarkston Fund Institutional or generate 0.0% return on investment in Clarkston Fund over 30 days. Clarkston Fund is related to or competes with Clarkston Partners, Clarkston Founders, Columbia Acorn, Clarkston Partners, and Invesco Value. Under normal circumstances, the fund invests primarily in equity securities of U.S More
Clarkston Fund Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Clarkston Fund's mutual fund current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Clarkston Fund Institutional upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8418 | |||
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 3.56 | |||
| Value At Risk | (1.29) | |||
| Potential Upside | 0.9352 |
Clarkston Fund Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Clarkston Fund's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Clarkston Fund's standard deviation. In reality, there are many statistical measures that can use Clarkston Fund historical prices to predict the future Clarkston Fund's volatility.| Risk Adjusted Performance | 0.0297 | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.04) | |||
| Sortino Ratio | (0.04) | |||
| Treynor Ratio | 0.0234 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Clarkston Fund's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Clarkston Fund Insti Backtested Returns
We consider Clarkston Fund very steady. Clarkston Fund Insti secures Sharpe Ratio (or Efficiency) of 0.0292, which signifies that the fund had a 0.0292% return per unit of standard deviation over the last 3 months. We have found twenty-seven technical indicators for Clarkston Fund Institutional, which you can use to evaluate the volatility of the entity. Please confirm Clarkston Fund's risk adjusted performance of 0.0297, and Mean Deviation of 0.4888 to double-check if the risk estimate we provide is consistent with the expected return of 0.0195%. The fund shows a Beta (market volatility) of 0.91, which signifies possible diversification benefits within a given portfolio. Clarkston Fund returns are very sensitive to returns on the market. As the market goes up or down, Clarkston Fund is expected to follow.
Auto-correlation | 0.07 |
Virtually no predictability
Clarkston Fund Institutional has virtually no predictability. Overlapping area represents the amount of predictability between Clarkston Fund time series from 20th of March 2024 to 4th of April 2024 and 4th of April 2024 to 19th of April 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Clarkston Fund Insti price movement. The serial correlation of 0.07 indicates that barely 7.0% of current Clarkston Fund price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.07 | |
| Spearman Rank Test | -0.37 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
Clarkston Fund Insti lagged returns against current returns
Autocorrelation, which is Clarkston Fund mutual fund's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Clarkston Fund's mutual fund expected returns. We can calculate the autocorrelation of Clarkston Fund returns to help us make a trade decision. For example, suppose you find that Clarkston Fund has exhibited high autocorrelation historically, and you observe that the mutual fund is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Clarkston Fund regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Clarkston Fund mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Clarkston Fund mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Clarkston Fund mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Clarkston Fund Lagged Returns
When evaluating Clarkston Fund's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Clarkston Fund mutual fund have on its future price. Clarkston Fund autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Clarkston Fund autocorrelation shows the relationship between Clarkston Fund mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Clarkston Fund Institutional.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Clarkston Fund in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Clarkston Fund's short interest history, or implied volatility extrapolated from Clarkston Fund options trading.
Pair Trading with Clarkston Fund
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Clarkston Fund position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Clarkston Fund will appreciate offsetting losses from the drop in the long position's value.Moving together with Clarkston Mutual Fund
| 0.98 | CFMDX | Clarkston Founders | PairCorr |
| 0.72 | CFSMX | Clarkston Partners | PairCorr |
| 0.98 | CIMDX | Clarkston Founders | PairCorr |
| 0.71 | CISMX | Clarkston Partners | PairCorr |
The ability to find closely correlated positions to Clarkston Fund could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Clarkston Fund when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Clarkston Fund - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Clarkston Fund Institutional to buy it.
The correlation of Clarkston Fund is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Clarkston Fund moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Clarkston Fund Insti moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Clarkston Fund can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Clarkston Fund Correlation, Clarkston Fund Volatility and Clarkston Fund Alpha and Beta module to complement your research on Clarkston Fund. Note that the Clarkston Fund Insti information on this page should be used as a complementary analysis to other Clarkston Fund's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.
Clarkston Fund technical mutual fund analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, fund market cycles, or different charting patterns.